Acurast says it has deployed the open-source AI decision model Laya at scale on a smartphone network

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Acurast announces the open-source AI decision model Laya running on a decentralized smartphone network

BlockBeats reports that September 28, the decentralized privacy computing project Acurast announced that it has achieved large-scale deployment of the open-source “System 1” decision model Laya on its network composed of smartphones. The model was developed by Convai Innovations and uses the Apache-2.0 license. It is primarily used for real-time decision-making rather than traditional text generation.

Acurast said that Laya can run on Android smartphone nodes and is currently used for real-time gaming, autonomous navigation, email classification, news headline recognition, content moderation, and defense against prompt injection. Each decision can generally be completed in approximately 0.2 to 1 seconds, using only CPU of runtime.

Acurast said that its network has connected more than 175 countries and regions worldwide, more than 280000 smartphones, and has processed more than 918000000 on-chain transactions.

Original link https://m.theblockbeats.info/flash/369386

Key points

Acurast announces the open-source “System 1” decision model Laya running on a network composed of smartphones.
Laya was developed by Convai Innovations and uses the Apache-2.0 license. It is primarily used for real-time decision-making rather than traditional text generation.
Laya can run on Android smartphone nodes and is used for real-time gaming, autonomous navigation, email classification, news headline recognition, content moderation, and defense against prompt injection.
Each decision generally takes approximately 0.2 to 1 seconds, using only CPU of runtime.
Acurast says its network has connected more than 175 countries and regions worldwide, more than 280000 smartphones, and processed more than 918000000 on-chain transactions.

AI-assisted interpretation

The following is analysis, separate from reported facts. Verify important claims independently.

Put simply, Acurast says that a network made up of many smartphones can run Laya, an open-source AI model for rapid decision-making, such as classifying emails or identifying news headlines.

Why it matters to readers

If these deployment and performance figures are accurate, they indicate that consumer-grade Android smartphones could be used for low-latency AI decision-making tasks.

This demonstrates one way to combine decentralized networks, smartphone computing power, and real-time AI decision-making.

Risks and unknowns

The evidence does not indicate whether the number of nodes, operating performance, and on-chain transaction data have undergone independent verification.
The evidence does not indicate the actual scale of Laya’s use in the listed tasks or whether it has been running continuously.

Acurast says it has deployed the open-source AI decision model Laya at scale on a smartphone network

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